Broken hearted: How to attack ECG biometrics
<p>In this work we present a systematic presentation attack against ECG biometrics. We demonstrate the attack’s effectiveness using the Nymi Band, a wrist band that uses electrocardiography (ECG) as a biometric to authenticate the wearer. We instantiate the attack using a hardware-based Arbitr...
| Main Authors: | , , , , , |
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| Format: | Conference item |
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Internet Society
2017
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| _version_ | 1797056000719585280 |
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| author | Eberz, S Paoletti, N Roeschlin, M Kwiatkowska, M Martinovic, I Patané, A |
| author_facet | Eberz, S Paoletti, N Roeschlin, M Kwiatkowska, M Martinovic, I Patané, A |
| author_sort | Eberz, S |
| collection | OXFORD |
| description | <p>In this work we present a systematic presentation attack against ECG biometrics. We demonstrate the attack’s effectiveness using the Nymi Band, a wrist band that uses electrocardiography (ECG) as a biometric to authenticate the wearer. We instantiate the attack using a hardware-based Arbitrary Waveform Generator (AWG), an AWG software using a computer sound card, and the playback of ECG signals encoded as .wav files using an off-the-shelf audio player. In two sets of experiments we collect data from a total of 41 participants using a variety of ECG monitors, including a medical monitor, a smartphone-based mobile monitor and the Nymi Band itself.</p> <br/> <p>We use the first dataset to understand the statistical differences in biometric features that arise from using different measurement devices and modes. Such differences are addressed through the automated derivation of so-called mapping functions, whose purpose is to transform ECG signals from any device in order to resemble the morphology of the signals recorded with the Nymi Band.</p> <br/> <p>We use the first dataset to understand the statistical differences in biometric features that arise from using different measurement devices and modes. Such differences are addressed through the automated derivation of so-called mapping functions, whose purpose is to transform ECG signals from any device in order to resemble the morphology of the signals recorded with the Nymi Band.</p> |
| first_indexed | 2024-03-06T19:17:20Z |
| format | Conference item |
| id | oxford-uuid:18dd284f-d9bd-470b-a5d8-d6487da3ba12 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T19:17:20Z |
| publishDate | 2017 |
| publisher | Internet Society |
| record_format | dspace |
| spelling | oxford-uuid:18dd284f-d9bd-470b-a5d8-d6487da3ba122022-03-26T10:45:35ZBroken hearted: How to attack ECG biometricsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:18dd284f-d9bd-470b-a5d8-d6487da3ba12Symplectic Elements at OxfordInternet Society2017Eberz, SPaoletti, NRoeschlin, MKwiatkowska, MMartinovic, IPatané, A<p>In this work we present a systematic presentation attack against ECG biometrics. We demonstrate the attack’s effectiveness using the Nymi Band, a wrist band that uses electrocardiography (ECG) as a biometric to authenticate the wearer. We instantiate the attack using a hardware-based Arbitrary Waveform Generator (AWG), an AWG software using a computer sound card, and the playback of ECG signals encoded as .wav files using an off-the-shelf audio player. In two sets of experiments we collect data from a total of 41 participants using a variety of ECG monitors, including a medical monitor, a smartphone-based mobile monitor and the Nymi Band itself.</p> <br/> <p>We use the first dataset to understand the statistical differences in biometric features that arise from using different measurement devices and modes. Such differences are addressed through the automated derivation of so-called mapping functions, whose purpose is to transform ECG signals from any device in order to resemble the morphology of the signals recorded with the Nymi Band.</p> <br/> <p>We use the first dataset to understand the statistical differences in biometric features that arise from using different measurement devices and modes. Such differences are addressed through the automated derivation of so-called mapping functions, whose purpose is to transform ECG signals from any device in order to resemble the morphology of the signals recorded with the Nymi Band.</p> |
| spellingShingle | Eberz, S Paoletti, N Roeschlin, M Kwiatkowska, M Martinovic, I Patané, A Broken hearted: How to attack ECG biometrics |
| title | Broken hearted: How to attack ECG biometrics |
| title_full | Broken hearted: How to attack ECG biometrics |
| title_fullStr | Broken hearted: How to attack ECG biometrics |
| title_full_unstemmed | Broken hearted: How to attack ECG biometrics |
| title_short | Broken hearted: How to attack ECG biometrics |
| title_sort | broken hearted how to attack ecg biometrics |
| work_keys_str_mv | AT eberzs brokenheartedhowtoattackecgbiometrics AT paolettin brokenheartedhowtoattackecgbiometrics AT roeschlinm brokenheartedhowtoattackecgbiometrics AT kwiatkowskam brokenheartedhowtoattackecgbiometrics AT martinovici brokenheartedhowtoattackecgbiometrics AT patanea brokenheartedhowtoattackecgbiometrics |